Analytics Vidhya

JUNE 24, 2021

The post Linear predictive models – Part 1 appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Hello readers. This is part-1 of a comprehensive tutorial on Linear.

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Predictive Modeling Modeling Data Science Publishing 226

Analytics Vidhya

MAY 24, 2021

The post How to create a Stroke Prediction Model? ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION: Stroke is a medical condition that can lead to the. appeared first on Analytics Vidhya.

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Predictive Modeling Modeling Data Science Publishing 262

Analytics Vidhya

JUNE 21, 2020

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book Introduction: In this article, I will be implementing a predictive model on Rain Dataset to predict whether or not it will rain. The post Predictive Modelling | Rain Prediction in Australia With Python. appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 12, 2021

Specific to Predictive Models). ArticleVideos This article was published as a part of the Data Science Blogathon. Hello, There Data science has been a vastly growing and improving. The post 5 Important things to Keep in Mind during Data Preprocessing! appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 20, 2021

The post App Building And Deployment of a Predictive Model Using Flask and AWS appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective An app is to be developed to determine whether an.

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Predictive Modeling Modeling Data Science Publishing 186

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

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KDnuggets

DECEMBER 1, 2023

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox. It's a Read more »

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KDnuggets

DECEMBER 23, 2021

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist?

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Domino Data Lab

OCTOBER 29, 2021

When you hear words like machine learning (ML) or artificial intelligence (AI), one of the first things that comes to mind is correctly predicting future occurrences or answering difficult questions about the present based on past events. At its core, this is what predictive modeling is all about.

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Dataiku

OCTOBER 26, 2021

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

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Analytics Vidhya

JUNE 26, 2024

Introduction In the field of machine learning, developing robust and accurate predictive models is a primary objective. Ensemble learning techniques excel at enhancing model performance, with bagging, short for bootstrap aggregating, playing a crucial role in reducing variance and improving model stability.

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Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

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Smarten

DECEMBER 4, 2017

What is Assisted Predictive Modeling? Assisted Predictive Modeling is a great way to provide support for your users and your organization. Yes, plug n’ play predictive analysis must truly be plug and play! Predictive analysis does not have to be tortuous or confusing.

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Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules. The post Deep learning model to predict mRNA Degradation appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 6, 2023

emerges as a formidable tool in predictive modelling, enhancing machine learning with improved efficiency and accuracy. Introduction AI is experiencing a significant shift with the emergence of LLMs like GPT-4, revolutionizing machine understanding and generation of human language. Alongside, xgboost 2.0

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Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Explore Assisted Predictive Modeling and find out how it can benefit your organization. Nothing could be further from the truth.

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Teradata

OCTOBER 3, 2019

Predict the future faster with predictive modeling. Learn more about use cases and how to get more value out of your data.

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KDnuggets

JANUARY 5, 2022

3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor (..)

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Analytics Vidhya

DECEMBER 4, 2022

Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […].

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Predictive Modeling Data Science Publishing Modeling 336

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. No Guesswork!

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Dataiku

FEBRUARY 5, 2024

We’re back with the final article of our three-part series on building our first predictive model. We’ve laid the groundwork , learned how to build and evaluate the model , and now we want to learn how to interpret it.

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Modeling Predictive Modeling IT 90

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

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Analytics Vidhya

JUNE 17, 2023

Data science for marketing is a discipline that combines statistical analysis, machine learning, and predictive modeling to extract meaningful patterns […] The post How to Use Data Science for Marketing? appeared first on Analytics Vidhya.

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Smarten

NOVEMBER 6, 2018

This video demonstrated Self-Service Data Preparation and Assisted predictive modeling using practical data which combines data from within the organisation and data from external sources to make effective prediction and analysis. This video focuses on consumer products used in the building industry.

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Analytics Vidhya

JANUARY 15, 2022

Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. This article was published as a part of the Data Science Blogathon.

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Predictive Modeling Data Science Publishing Modeling 393

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology.

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Dataiku

JANUARY 8, 2024

With advancements in automated machine learning ( AutoML ) and collaborative AI and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise.

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Analytics Vidhya

MAY 13, 2022

Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].

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Analytics Vidhya

MARCH 5, 2023

And our goal is to create a predictive model, such as Logistic Regression, etc. so that when we give the characteristics of a candidate, the model can predict whether they will recruit. Introduction In this project, we will be focusing on data from India.

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Smarten

NOVEMBER 5, 2018

This video has a presentation on how one can use data from multiple systems across the organisation along with data from external sources to run predictive analytics using Assisted Predictive Modeling. The video has a complete presentation which is followed by a demonstration. Each of these videos is available independently.

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Analytics Vidhya

AUGUST 1, 2022

What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. Introduction In this article, we will explore one of Microsoft’s proprietary products, “PowerBI”, in-depth. PowerBI is used for Business intelligence. And […].

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DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework.

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction Often while working on predictive modeling, it is a common observation that most of the time model has good accuracy for the training data and lesser accuracy for the test data.

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Analytics Vidhya

JULY 2, 2023

Everything from data-driven decision-making to scientific discoveries to predictive modeling depends on our potential to disentangle the hidden connections and patterns within complex datasets. Introduction Comprehending and unleashing the intricate affinities among variables in the expansive realm of statistics is integral.

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Analytics Vidhya

DECEMBER 22, 2022

We have various Machine Learning algorithms to build predictive models. In case you want to revisit the previous ones, tap here. This article will cover all you need to know about boosting algorithms. We choose the boosting algorithms based […]. The post Ultimate Guide To Boosting Algorithms appeared first on Analytics Vidhya.

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Smarten

NOVEMBER 4, 2024

Knowledgebase Articles Access Rights, Roles and Permissions : AD Integration in Smarten Data Sources : Database Data Sources : Improving performance for fetching data from the database GeoMap : Importing areas and their Lat / Long Predictive Use cases Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive (..)

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